Overview

　　The Lead Insights Analyst i s a professional track role whose primary role is to identify, generate, and communicate insights for an assigned scope of business through the blending, transformation, and critical evaluation of data. This role will perform these duties through descriptive, diagnostic, and limited predictive methods, relying on CFA's established analytics tooling stack. This role will be expected to provide analytical support for multiple related projects or workstreams within Field Operations. It will require acting as a Subject Matter Expert in a broad suite of standard data, methods, and tools, including complex features. The Lead Insights Analyst will work under the direction of the Sr. Principal Team Leader over ED&A Service working with Field Operations.

　　The Lead Insights Analyst will work within a full stack analytics team to provide data and analytical support for Field Operations, including the use of data to understand and evaluate prioritized work from Field Operations Leadership such as the pipeline of Operator candidates, Grand Opening Restaurant performance, Staffing Models, and Smart Shop visits.

　　Our Flexible Future model offers a healthy mix of working in person and remotely, strengthening key elements of the Chick-fil-A culture by fostering collaboration and community.

　　 Responsibilities

　　Works within a team of data engineers, data scientists, and a Principal client lead to convert business problems/questions from Field Operations into effective analytics reports and insights. This role will primarily be responsible for insightful Tableau and/or ThoughtSpot Visualizations, finding and building data to be retrieved via SQL, and data curation via Alteryx or similar for single dashboard presentations or ad hoc analyses. Demonstrates in-depth knowledge of and understands risk/safety implications to the broader business, strong knowledge of Chick-fil-A's business and restaurant industry, including use and calculation of relevant Key Performance Indicators (KPIs) and benchmarks Persuasively recommends insights-informed action to leaders and peers across multiple business areas Works comfortably with large and complex datasets that span multiple areas of the organization, and understands how to blend and model data effectively Solves complex analytics problems requiring synthesis of diverse inputs from internal and external sources through the application of a comprehensive suite of descriptive and diagnostic methods and select predictive methods, with minimal oversight Confidently leverages a broad suite of standard analytics tooling that may require unique or complex integrations across systems while coaching others to do the same, including Tableau, Alteryx, ThoughtSpot, and AWS services Acts as subject matter expert for standard data usage patterns, analytics tooling and analytic methods and procedures while coaching others within the analytics community to do the same

　　 Minimum Qualifications

　　Proficient with Tableau or similar data visualization tools Comfort with Alteryx or similar ETL platforms Strong SQL programming skills Familiarity with cloud data storage and compute concepts, particularly AWS S3 and Redshift Strong applied knowledge of basic statistical concepts and data best practices Demonstrated ability to produce scalable and repeatable analytic processes Demonstrated ability to partner with peers and leaders using strong written and verbal communication Fast learner with a desire to gain new and improve existing analytic skills Comfort and ability to ask questions and seek assistance when necessary

　　 Preferred Qualifications

　　Experience providing data or analytical support for risk, travel, or security functions Familiarity with ThoughtSpot Business Intelligence solution General awareness of a breadth of cloud compute concepts and capabilities Strong understanding of data governance principles and procedures Strong statistical programming skills in R or Python 5+ years experience

　　 Minimum Years of Experience

　　3

　　 Travel Requirements

　　10%

　　 Required Level of Education

　　Bachelor's Degree

　　 Preferred Level of Education

　　Masters Degree

　　 Major/Concentration

　　Business, Statistics, Analytics or Mathematics related fields